Software Engineer

Robinhood

Hybrid Actively hiring Posted today Verified listing

Menlo Park, CA Posted 1 day ago $161,637–$200,000 / year

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99+ other roles within 25 mi Near Menlo Park, CA

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $181k

$134k most similar roles pay here $221k

This role pays more than 53% of similar roles. Most pay $142,450–$213,000 — the shaded band above. At the midpoint, this role pays about $181k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 78 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 77 roles with salary data.

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At a glance

TL;DR

As a Software Engineer at Menlo Park, you will join a team of sharp problem-solvers to design and develop machine learning models and AI-powered services that enhance product features and decision-making systems. Your daily tasks include implementing end-to-end ML pipelines from data ingestion through deployment, collaborating with cross-functional teams to solve business problems, and ensuring the reliability and scalability of your models in production environments. You will need proficiency in Python, Java, Scala, or GoLang, along with expertise in machine learning frameworks, data processing tools, feature engineering, and model monitoring systems. This role involves handling sensitive data securely while adhering to compliance requirements, documenting designs thoroughly, and applying software engineering best practices throughout the development lifecycle.

Skills

Python Java Scala GoLang Machine learning frameworks Data processing frameworks Feature engineering tools ML pipeline and deployment tools Model monitoring tools

What you'll do

Design and develop machine learning models to support product features.
Implement end-to-end ML pipelines, including data ingestion and model deployment.
Own the full lifecycle of ML components from experimentation to production monitoring.
Integrate ML models into production systems for low-latency inference.
Ensure compliance with security and privacy requirements in ML systems.

What we're looking for

Bachelor’s degree in Computer Science or related field and 3 years of relevant experience.
Proficiency in Python, Java, Scala, or GoLang.
Experience with machine learning frameworks and data processing tools.
Expertise in feature engineering, supervised, and unsupervised learning techniques.
Knowledge of ML pipeline deployment and model monitoring tools.
Strong software engineering practices including testing, documentation, and version control.

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